Advanced MCQ on Correlation and Regression with Answers PDF







Correlation is a statistical measure that describes the strength and direction of a linear relationship between two variables. It is quantified using the correlation coefficient, which ranges from -1 to 1. A correlation coefficient of 1 indicates a perfect positive linear relationship, while -1 indicates a perfect negative linear relationship. A coefficient of 0 suggests no linear relationship. Positive values imply that as one variable increases, the other tends to increase, and negative values imply that as one variable increases, the other tends to decrease. Correlation helps to understand how variables move together but does not imply causation. This is an advanced MCQ on Correlation and Regression with Answers. You can download the question paper as PDF rom the link provided in the result page of the quiz.

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1. 
Which of the following correlation coefficients indicates the strongest linear relationship between two variables?

2. 
If the correlation coefficient between two variables X and Y is zero, which of the following statements is true?

3. 
Which of the following best describes Pearson's correlation coefficient?

4. 
Spearman's rank correlation coefficient is most appropriate when:

5. 
Which of the following is NOT a property of the correlation coefficient?

6. 
If the correlation between two variables X and Y is 0.7, and the data for both variables are multiplied by 2, what will be the new correlation coefficient?

7. 
Which of the following statements is true regarding the correlation between two variables?

8. 
If the correlation coefficient between two variables is found to be r=0.9, how much of the variance in one variable is explained by the other?

9. 
Which of the following is true about the correlation matrix?

10. 
In the presence of outliers, which correlation measure is more robust?

11. 
Which of the following could result in a spurious correlation between two variables?

12. 
Which of the following methods is used to determine the significance of a correlation coefficient?

13. 
Which of the following is true if two variables have a correlation coefficient of 0.8?

14. 
Which of the following scenarios would likely produce a correlation close to zero?

15. 
If the correlation between variables X and Y is positive, what does this imply about their relationship?

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